Databricks Lakehouse for Biopharma Commercial
How biopharma commercial teams unify CRM, claims, prescription and field data on a Databricks lakehouse for governed HCP/HCO insight and AI-driven engagement.
Modernize Product, Quality & Commercial Workflows With Connected Data And AI


Medical device organizations manage highly connected workflows across engineering, quality, regulatory, clinical evidence, manufacturing and commercial teams.
When information is fragmented across systems, teams spend more time reconciling records, investigating issues and preparing evidence than acting on what the data is showing.
Kasmo Global helps connect those systems and workflows through modern applications, governed data and AI-assisted decision support.
Modernize the applications supporting quality, product development, clinical evidence, field operations and customer engagement.
Bring product, quality, service, manufacturing and commercial data into governed platforms with shared definitions and traceability.
Use AI Agents to summarize evidence, surface quality signals, support investigations and help teams act faster on product and operational information.
Connect engineering, research and product information to reduce manual evidence gathering and improve development visibility.
Bring study, literature and product evidence together to support review, analysis and documentation workflows.
Surface complaint, service and quality signals earlier to support investigation and corrective action.
Connect production, supply and customer data to improve operational planning, product availability and market visibility.
Kasmo designed a Databricks-native platform that brings ERP, supplier, inventory and plant data together for real-time visibility, demand forecasting, predictive quality and manufacturing intelligence.

Kasmo used Claude for Life Sciences to ground specialized Agents in Benchling and scientific sources for literature review, protocol drafting and bioinformatics work, with scientist review built into the workflow.

Kasmo combined trial, site, investigator and public data in Databricks, then applied human-reviewed AI Agents to rank candidates and show the evidence behind each recommendation.

Kasmo modernized a complex SQL Server and SSIS environment onto Databricks, using AI-assisted conversion, reconciliation and governed pipelines while preserving the business logic teams already relied on.

Kasmo designed a Databricks-native commercial intelligence solution that brings Veeva Vault CRM, claims, prescribing and payer data together for shared KPIs, HCP/HCO analysis and AI-assisted decision support.

Practical thinking on governed data, business context and agent engineering across commercial, clinical, quality and supply chain workflows
Commercial AI Copilot brings CRM activity, HCP/HCO context, territory signals, commercial data and approved content into one governed assistant for faster call planning, account prioritization and follow-up.
Clinical Trial Intelligence brings protocol, study, site, investigator, enrollment and public clinical data together to rank opportunities, surface risks and give study teams evidence behind every recommendation.
R&D Research Agent uses Claude Platform on AWS and connected scientific sources to synthesize literature, analyze research datasets and assemble citation-backed outputs for scientist review.
BrickPath helps teams migrate legacy EDW and ETL estates to a governed Databricks Lakehouse using automated discovery, dialect-aware code conversion, continuous reconciliation and wave-based migration.